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100 Days of ML Coding
Ray tutorials from Anyscale
Course files for AI Introduction course
Documentation and samples for ArcGIS API for Python
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
AutoLearn, a domain independent regression-based feature learning algorithm.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A topic-centric list of HQ open datasets. PR ☛☛☛
Random Forest - a curated list of resources regarding random forest
This is the code for "Best Programming Languages for Machine Learning" By Siraj Raval on Youtube
Bluemix sample app written in Python that uses the Klout and Twitter API's to analyze the influence of individual twitter usernames
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
Essential Cheat Sheets for deep learning and machine learning researchers
Classification models trained on ImageNet. Keras.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
:bar_chart: Path to a free self-taught education in Data Science!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Keras code and weights files for popular deep learning models.
Earning manipulation for banking customers is predicted using Logistic Regression
Predicting earning manipulations using Stepwise Logistic Regression with Data Cleaning
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
An open source python framework for automated feature engineering
Data Science Case Study
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.